Advanced Applications with Mathematical Modeling in Operations and Supply Chain Management

A special issue of Mathematics (ISSN 2227-7390).

Deadline for manuscript submissions: 30 November 2024 | Viewed by 116

Special Issue Editors


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Guest Editor
ICAM, Site of Grand Paris Sud, 77127 Lieusaint, France
Interests: sustainable supply chain; logistics and transport; simulation engineering and modelling; computer-aided tools and informational system

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Guest Editor
Faculty of Engineering, University of Deusto, Avda. Universidades, 24, 48007 Bilbao, Spain
Interests: green supply chain management; logistics and transport; production planning and control; optimisation models

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Guest Editor
Faculty of Engineering Management, Poznan University of Technology, 2 Jacka Rychlewskiego St., 60-965 Poznan, Poland
Interests: digital twins; simulation; lean; intralogistics; Industry 4.0

Special Issue Information

Dear Colleagues,

Industry 4.0 concepts are now widely used in the digital and technological changes in companies. This development in company modernization is becoming essential due to globalization and high competition of emerging countries enterprises. Indeed, new technologies such as digital twin, artificial intelligence, advanced robotics, immersive realities, big data and analytics and information systems are exploited in the company supply chain digital transformation to increase its performance. For instance, digital twin will contribute to define and test scenarios that will increase the company performance. Immersive realities will be used for defining efficient methods, models, formalisms and applications to optimise company maintenance.  Finally, artificial intelligence will be exploited to elaborate methods and models that will contribute to the company supply chain optimisation. These new technologies’ integration in the supply chain is called supply chain 4.0. The benefits of supply chain 4.0 concepts’ application in companies are amplified by integrating sustainability (as an economic, social and environmental aspect) in the company transformation.

The purpose of this Special Issue is to provide a collection of articles presenting methods, formalisms, aided tools and digital twins which contribute the company sustainable supply chain performance improvement. The focus will be on the industrial applications of the sustainable supply chain 4.0 concepts.

Dr. Paul Eric Dossou
Prof. Dr. Esther Álvarez
Prof. Dr. Pawel Pawlewski
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Mathematics is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • supply chain 4.0
  • supply chain optimization
  • sustainable supply chain
  • green supply chain
  • digital twin

Published Papers

This special issue is now open for submission.
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